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Correct algebras over estimation algorithms in the set of regular recognition problems with nonoverlapping classes

机译:具有非重叠类的一组常规识别问题中的估计算法上的正确代数

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摘要

Algebras over estimation algorithms in the set of regular problems with nonoverlapping classes are considered. A correctness criterion for the arbitrary degree algebraic closure of the model of estimation algorithms in the classification problems of this type is proposed; this criterion can be efficiently verified. An estimate of the minimal degree of the algebraic closure that is sufficient for constructing a correct classifier in an arbitrary regular problem with nonoverlapping classes is found.
机译:考虑具有非重叠类的常规问题集中的估计算法的代数。提出了这类分类问题中估计算法模型的任意度代数闭合的正确性准则。该标准可以得到有效验证。找到了足以在不重叠类的任意正则问题中构造正确分类器的代数闭合最小程度的估计。

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